Assistant Data Visualization Analyst

Job Title

Assistant Data Visualization Analyst

Agency

Texas A&M University

Department

School of Engineering Medicine

Proposed Minimum Salary

Commensurate

Job Location

Houston, Texas

Job Type

Temporary/Casual Staff (Fixed Term)

Job Description

Our Commitment 

Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived experiences. Embracing varying opinions and perspectives strengthens our core values which are: Respect, Excellence, Leadership, Loyalty, Integrity, and Selfless Service.    

Who we are  

The School of Engineering Medicine in collaboration with Texas A&M College of Engineering, Texas A&M School of Medicine and the state’s top-ranked Houston Methodist Hospital offer an innovative medical school program called ENMED.  This program was established to transform healthcare through translational interdisciplinary research, the development of medical technologies, and the development and training of “Physicianeers.” ENMED delivers a revolutionary blended curriculum with focus on innovation and entrepreneurship where students receive a Doctor of Medicine and Master of Engineering degree in the same four years.  

What we want

The Assistant Data Visualization Analyst is responsible for assisting with data analytics projects, gathering, cleaning and studying data sets to assist in larger problem resolution efforts. This is a wage position established to accommodate a temporary organizational need. As such, TAMU does not guarantee any set number of hours or length of employment in this role.

What you need to know

Salary: Will be commensurate based on the selected hire’s education and experience.   

Location/Schedule: Houston, TX/up to 40 hours per week for approximately 8-10 weeks

Apply! Submitting a cover letter, CV/Resume to assist us with the review process. You may upload these documents on the application under CV/Resume.  

Responsibilities

Data Systems Support and Process Improvement

• Establish ML pipelines for image segmentation and image analysis on the GPU cluster at EnMed (Pettigrew lab)
• Document the pipeline implementation for ready application by the EnMed students.
• Assists with data systems management and integration functions to maintain system performance.
• Supports improvement efforts for existing data systems by reviewing system capabilities, workflows, and schedule limitations.
• Collaborates in identifying opportunities to enhance efficiency within data processes and systems.

 

Data Analytics and Statistical Analysis

• Assists in supporting operations and conducting data analytics projects to provide information and insights to stakeholders for decision making or solution development.
• Analyzes small to moderately sized datasets using statistical techniques to identify trends and patterns.
• Applies basic data mining, data modeling, and natural language processing techniques to interpret data.
• Utilizes routine data mining techniques to discover patterns and relationships that support business decisions.
• Assists in developing statistical models and algorithms to predict future trends, behavior, and outcomes based on historical data.
• Assists in designing and analyzing tests to evaluate the effectiveness of different strategies or interventions.

 

Data Management and Quality Assurance

• Gathers data from basic sources to support analytical projects.
• Constructs datasets for analysis and reporting purposes.
• Cleanses, filters, and preprocesses routine data to remove inconsistencies, errors, and outliers to ensure accuracy and reliability.
• Implements data standards and deploys automation tools to extract, synthesize, validate, and transform data into usable metrics.
• Monitors data quality and security to maintain data integrity.
• Provides routine troubleshooting and resolves database issues to ensure reliable data access and performance.

 

Data Visualization and Manuscript

• Creates data visualizations, dashboards, and metrics to communicate analytical findings.
• Generates basic data reports and responds to routine information requests from stakeholders.
• Transforms analytical results into clear and meaningful information to support decision making.

 

Professional Development and Technical Growth

• Stays updated on current data analysis techniques, tools, and technologies to enhance analytical effectiveness.
• Continuously improves technical and analytical skills to support evolving operational needs.

Required Education

• Bachelor’s degree or equivalent combination of education and experience.

Preferred Qualifications

• Master’s degree preferred.

Knowledge, Skills, and Abilities

• Ability to multitask and work cooperatively with others.

Why Texas A&M University? 

We are a prestigious university with strong traditions, Core Values, and a community of caring and collaboration.  

• Medical, prescription drug, dental, vision, life and AD&D, flexible spending accounts, and long-term disability insurance with Texas A&M contributing to employee health and basic life premiums  
• 12-15 days of annual paid holidays   
• Up to eight hours of paid sick leave and at least eight hours of paid vacation each month  
• Automatic enrollment in the Teacher Retirement System of Texas   
• Health and Wellness: Free exercise programs and release time  
• Professional Development: All employees have access to free LinkedIn Learning training, webinars, and limited financial support to attend conferences, workshops, and more   
• Educational release time and tuition assistance for completing a degree while a Texas A&M employee  
• Living Well, a program at Texas A&M that has been built by employees, for employees  

Instructions to Applicants: Applications received by Texas A&M University must either have all job application data entered, or a resume attached. Failure to provide all job application data or a complete resume could result in an invalid submission and a rejected application. We encourage all applicants to upload a resume or use a LinkedIn profile to prepopulate the online application. 

All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required by the institution’s procedures, including the completion of the criminal history check.

Equal Opportunity/Veterans/Disability Employer.